Alteryx and Amazon SageMaker compete in the data analytics and machine learning category. Based on the comparisons, Alteryx seems to have an upper hand in ease of use and integration for business users with its codeless system, while SageMaker is advantageous for extensive machine learning projects with strong AWS integration.
Features: Alteryx stands out for its ease of use with a codeless, drag-and-drop interface that facilitates data blending and integration with tools like Tableau. It supports predictive analytics and can efficiently process large data volumes. Amazon SageMaker provides powerful machine learning capabilities, including model deployment, AutoML, and hyperparameter tuning, with seamless integration with AWS services.
Room for Improvement: Alteryx could improve its visualization features and in-database tool functionality, while users suggest more automated data profiling and flexible pricing. SageMaker could benefit from simplifying setup processes, enhancing cost transparency, and improving customer support documentation, especially for diverse data pipelines.
Ease of Deployment and Customer Service: Alteryx is suitable for on-premises and hybrid environments, offering strong community support, though some users experience delayed response times. Amazon SageMaker, operating mainly in the public cloud, benefits from AWS’s ecosystem but could improve its documentation and onboarding process. Both offer responsive customer support, though SageMaker's premium tiers can be costly.
Pricing and ROI: Alteryx has a higher upfront cost with licenses starting at $5,000 annually, providing quick ROI through data handling efficiencies. Its comprehensive capabilities justify the high fees for many businesses. SageMaker follows a pay-as-you-go model, which can become expensive for continuous use, but offers valuable investment for machine learning projects due to efficient AWS integration. Careful cost management is essential to maximize ROI.
The return on investment varies by use case and offers significant value in revenue increases and cost saving capabilities, especially in real time fraud detection and targeted advertisements.
The customer service was not good because we weren't premium support users.
I contacted customer support once or twice, and they were quick to respond.
The technical support from AWS is excellent.
The support is very good with well-trained engineers.
Alteryx is scalable, and I would give it eight out of ten.
The availability of GPU instances can be a challenge, requiring proper planning.
Amazon SageMaker is scalable and works well from an infrastructure perspective.
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
I rate the stability of Amazon SageMaker between seven and eight.
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
It would be beneficial if Alteryx could lower its price or introduce a loyalty program for individual consultants and freelancers like me.
Having all documentation easily accessible on the front page of SageMaker would be a great improvement.
Integration of the latest machine learning models like the new Amazon LLM models could enhance its capabilities.
This would empower citizen data scientists to utilize the tool more effectively since many data scientists do not have a core development background.
Some were hesitant to pay $4000 per seat.
Alteryx is expensive.
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
For a single user, prices might be high yet could be cheaper for user-managed services compared to AWS-managed services.
The pricing can be up to eight or nine out of ten, making it more expensive than some cloud alternatives yet more economical than on-premises setups.
The cost for small to medium instances is not very high.
Alteryx is user-friendly and allows easy creation of workflows compared to Informatica PowerCenter.
I found Alteryx's ability to modify data on the fly, using in-memory processing, very useful.
It offered quick development, with the ability to process large datasets.
These features facilitate rapid development and deployment of AI applications.
SageMaker supports building, training, and deploying AI models from scratch, which is crucial for my ML project.
This allows monitoring and performance grading, as I instantly know when someone has a bad call.
Alteryx can be used to speed up or automate your business processes and enables geospatial and predictive solutions. Its platform helps organizations answer business questions quickly and efficiently, and can be used as a major building block in a digital transformation or automation initiative. With Alteryx, you can build processes in a more efficient, repeatable, and less error-prone way. Unlike other tools, Alteryx is easy to use without an IT background. The platform is very robust and can be used in virtually any industry or functional area.
With Alteryx You Can:
Alteryx Features Include:
Some of the most valuable Alteryx features include:
Scalability, stability, flexibility, fast performance, no-code analytics, data processing, business logic wrapping, scheduling, ease of use, data blending from different platforms, geo-referencing, good customization capabilities, drag and drop functionality, intuitive user interface, connectors, machine learning, macros, simple GUI, integration with Python, good data transformation, good documentation, multiple database merging, and easy deployment.
Alteryx Can Be Used For:
Alteryx Benefits
Some of the benefits of using Alteryx include
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Reviews from Real Users
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful." - Theresa M., Senior Capacity Planner at a financial services firm
"Alteryx has made us more agile and increased the speed and effectiveness of decision making." - Richard F., Director, Digital Experience & Media at Qdoba Restaurant Corporation
"The scheduling feature for the automation is excellent." - Data Analytics Engineer at a tech services company
"The product is very stable and super fast, five-star. It's significantly more stable than its nearest competitor." - Director at a non-tech company
“A complete solution with very good user experience and a nice user interface.” - Solutions Consultant at a tech services company
"There are a lot of good customization capabilities." - Advance Analytics PO at a pharma/biotech company
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
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